Journal
MICROBIOME
Volume 6, Issue -, Pages -Publisher
BMC
DOI: 10.1186/s40168-018-0564-7
Keywords
16S rRNA; Asthma; Microbiome; Nose; Phenotype
Categories
Funding
- K12 Career Development Program [K12HL119994]
- Milken Institute School of Public Health Pilot Fund Program
- Margaret Q. Landenberger Research Foundation
- Fundacao para a Ciencia e a Tegnologia [T495756868-00032862]
- NIH National Center for Advancing Translational Sciences [R01MD007075, UL1TR000075]
- Clark Charitable Foundation
Ask authors/readers for more resources
Background: Pediatric asthma is the most common chronic childhood disease in the USA, currently affecting similar to 7 million children. This heterogeneous syndrome is thought to encompass various disease phenotypes of clinically observable characteristics, which can be statistically identified by applying clustering approaches to patient clinical information. Extensive evidence has shown that the airway microbiome impacts both clinical heterogeneity and pathogenesis in pediatric asthma. Yet, so far, airway microbiotas have been consistently neglected in the study of asthma phenotypes. Here, we couple extensive clinical information with 16S rRNA high-throughput sequencing to characterize the microbiota of the nasal cavity in 163 children and adolescents clustered into different asthma phenotypes. Results: Our clustering analyses identified three statistically distinct phenotypes of pediatric asthma. Four core OTUs of the pathogenic genera Moraxella, Staphylococcus, Streptococcus, and Haemophilus were present in at least 95% of the studied nasal microbiotas. Phyla (Proteobacteria, Actinobacteria, and Bacteroidetes) and genera (Moraxella, Corynebacterium, Dolosigranulum, and Prevotella) abundances, community composition, and structure varied significantly (0.05 < P <= 0.0001) across asthma phenotypes and one of the clinical variables (preterm birth). Similarly, microbial networks of co-occurrence of bacterial genera revealed different bacterial associations across asthma phenotypes Conclusions: This study shows that children and adolescents with different clinical characteristics of asthma also show different nasal bacterial profiles, which is indicative of different phenotypes of the disease. Our work also shows how clinical and microbial information could be integrated to validate and refine asthma classification systems and develop biomarkers of disease.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available